docstr: Drop path with probability.
  
  Parameters
  ----------
  p : float
      Probability of an path to be zeroed.
docstr_tok: ["Drop","path","with","probability",".","Parameters","--","--","--","--","--","p",":","float","Probability","of","an","path","to","be","zeroed","."]
code: def __init__(self, p=0.0):
      """
      Drop path with probability.
  
      Parameters
      ----------
      p : float
          Probability of an path to be zeroed.
      """
      super().__init__()
      self.p = p
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new DropPath object from inherited base classes: nn with example: obj = DropPath(p)